:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sun, Hankang, Li, Guiming, Yang, Su, Li, Baoqi
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2504.14994
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
par: Wang, Yucheng, et autres
Publié: (2024)

Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations
par: Furqon, Muhammad Tanzil, et autres
Publié: (2024)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
par: Ragab, Mohamed, et autres
Publié: (2024)

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation
par: Gong, Peiliang, et autres
Publié: (2025)

Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo
par: Pei, Jiangbo, et autres
Publié: (2024)

Time Series Domain Adaptation via Latent Invariant Causal Mechanism
par: Cai, Ruichu, et autres
Publié: (2025)

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
par: Wang, Junxiang, et autres
Publié: (2023)

MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models
par: Yu, Xiaoyun, et autres
Publié: (2026)

Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation
par: Gong, Chenqi, et autres
Publié: (2025)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
par: Zhang, Zhen, et autres
Publié: (2024)

Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation
par: Li, Gengxu, et autres
Publié: (2025)

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation
par: Qiang, Wenwen, et autres
Publié: (2025)

Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
par: Patel, Gaurav, et autres
Publié: (2024)

GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series
par: Tu, Gang, et autres
Publié: (2024)

DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
par: Darban, Zahra Zamanzadeh, et autres
Publié: (2024)

ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
par: Sun, Bin, et autres
Publié: (2025)

Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
par: Lee, Huisoo, et autres
Publié: (2025)

Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
par: Zhang, Wenyu, et autres
Publié: (2024)

Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation
par: Schlachter, Pascal, et autres
Publié: (2025)

Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum
par: Liu, Hanbing, et autres
Publié: (2024)

Universal Domain Adaptation Benchmark for Time Series Data Representation
par: Mussard, Romain, et autres
Publié: (2025)

Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
par: Huang, Min, et autres
Publié: (2024)

Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations
par: Germán-Morales, M., et autres
Publié: (2024)

Text-Driven Causal Representation Learning for Source-Free Domain Generalization
par: Zhou, Lihua, et autres
Publié: (2025)

USBD: Universal Structural Basis Distillation for Source-Free Graph Domain Adaptation
par: Wang, Yingxu, et autres
Publié: (2026)

Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation
par: Wang, Yingxu, et autres
Publié: (2026)

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
par: Chopra, Shivang, et autres
Publié: (2024)

Source-Free Domain Adaptation for YOLO Object Detection
par: Varailhon, Simon, et autres
Publié: (2024)

Semi-supervised Domain Adaptation in Graph Transfer Learning
par: Qiao, Ziyue, et autres
Publié: (2023)

Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
par: Guney, Osman Berke, et autres
Publié: (2023)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
par: Huang, Yu-Hao, et autres
Publié: (2025)

A General Representation-Based Approach to Multi-Source Domain Adaptation
par: Ng, Ignavier, et autres
Publié: (2026)

DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition
par: Hu, Fo, et autres
Publié: (2025)

Propensity-driven Uncertainty Learning for Sample Exploration in Source-Free Active Domain Adaptation
par: Pan, Zicheng, et autres
Publié: (2025)

Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation
par: Akkaya, Ibrahim Batuhan, et autres
Publié: (2022)

Autonomous Source Knowledge Selection in Multi-Domain Adaptation
par: Li, Keqiuyin, et autres
Publié: (2025)

Rethinking Time Series Domain Generalization via Structure-Stratified Calibration
par: Li, Jinyang, et autres
Publié: (2026)

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation
par: Zhang, Zhen, et autres
Publié: (2025)

A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series
par: Ma, Xiangkai, et autres
Publié: (2024)

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
par: Oh, YongKyung, et autres
Publié: (2025)